Note that the model parameters of the proposed model are unidentifiable. Due to isotropic Gaussian prior on the latent variables, arbitrary rotation on \(\Theta _{kl}\)  results in same likelihood [1]}. This makes direct interpretation of the inferred latent variables ambiguous. Fortunately, this does not affect the predictive performance nor the predictor of covariance, which are the main focus of this paper.
